Innocent Nyalala's repositories
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
100-Days-Of-ML-Code
100 Days of ML Coding
3D-Machine-Learning
A resource repository for 3D machine learning
ai-chatbot-framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
awesome-for-beginners
A list of awesome beginners-friendly projects.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BundleFusion
[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration
coding-interview-university
A complete computer science study plan to become a software engineer.
Deep-math-machine-learning.ai
A blog which talks about machine learning, deep learning and the Math. and Machine learning algorithms written from scratch.
deeplearning-models
A collection of various deep learning architectures, models, and tips
food_volume_estimation
Using deep learning to estimate food volume from an input image.
Hand-Gestures
Hand Gestures using Open-Cv Python
LiveScan3D
LiveScan3D is a system designed for real time 3D reconstruction using multiple Kinect v2 depth sensors simultaneously at real time speed.
machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
MATLAB-Deep-Learning-Model-Hub
Discover pretrained models for deep learning in MATLAB
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
nyalalainnocent.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
papers-we-love
Papers from the computer science community to read and discuss.
Point-Cloud-Classification-and-Volume-Estimation
This project is divided in two parts: the Python part, classifies point clouds with PointNet architecture and the C++ part, extracts and measures the volume of the point clouds with PCL and OpenCV
project-based-learning
Curated list of project-based tutorials
Python-programming-exercises
100+ Python challenging programming exercises
tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview